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Home » Using Predictive Analytics for Inventory Cycle Counting: An Advanced Approach

Using Predictive Analytics for Inventory Cycle Counting: An Advanced Approach

October 14, 2022
Geodis

Challenge: A medical supply manufacturer faced challenges related to inventory and shipping accuracy KPIs.
 
Solution: GEODIS selected this client as the pilot for the Predictive Analytics Cycle Counting (PACC) program, focused on streamlining the labor impacts of inventory control employees and correcting inventory discrepancies.
 
Results: Introducing PACC for the client significantly alleviated labor shortages and reduced indirect hours while improving inventory and shipping accuracy KPIs, greatly benefiting warehouse operations and clients. A significant increase in unit-per-hour (UPH) throughput - measuring number of units processed through facilities over an hour’s time - also indicated more efficient work processes. With the greater efficiencies of PACC, staff spend less time on indirect inventory counting and more time on direct, revenue-generating functions, resulting in higher earning opportunities and enhanced staff engagement.

 About the Solution Provider: GEODIS is a leading global logistics provider acknowledged for its expertise across all aspects of the supply chain. As a growth partner to its clients, GEODIS specializes in five lines of business: Supply Chain Optimization, Freight Forwarding, Contract Logistics, Distribution & Express, and Road Transport.

 Web: https://geodis.com/us/

 Email: [email protected]

 Phone: 866-4GEODIS

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    Case Study Showcase Data Management (Big Data/IoT/Blockchain) Inventory Planning/ Optimization Supply Chain Visibility HR & Labor Management Warehouse Management Systems
    KEYWORDS Data Management (Big Data/IOT/Blockchain) HR & Labor Management Inventory Planning and Optimization Supply Chain Visibilitly Warehouse Management Systems
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